This project gives AI agents access to Azure DevOps through the Model Context Protocol (MCP). Use the hosted remote server for the simplest setup, or run the local server when you need a stdio connection.
The remote server will eventually replace the local server. The local server remains supported, but new development will focus on the remote server. Existing local server users should begin planning their migration.
If you encounter issues with tools, need support, or have a feature request, you can report an issue using the Remote MCP Server issue template. During the preview period, we will track Remote MCP Server issues through this repository.
Quick Start
Create .vscode/mcp.json in your project and add this configuration. Replace {organization} with your Azure DevOps organization name.
After saving .vscode/mcp.json, start the server from the MCP view in VS Code, then run a prompt like List ADO projects.
Supported Tools
See the Available Tools documentation for the complete list of available remote tools.
For the complete list of local tools, see TOOLSET.md.
Local MCP Server Installation (Optional)
[!IMPORTANT]
Start with the Remote MCP Server first. Use the local MCP Server only if your scenario specifically requires a local stdio setup.
These steps use Visual Studio Code and GitHub Copilot. For other supported clients, including Visual Studio 2022, Codex, Claude Code, Cursor, OpenCode, and Kilo Code, see the getting started guide.
Save the file, then start the ado server from the MCP view in VS Code.
Open GitHub Copilot Chat and switch to Agent mode.
Select the Azure DevOps tools, then try a prompt such as List ADO projects.
When prompted, sign in with a Microsoft account that has access to the selected Azure DevOps organization.
To use nightly builds, replace @azure-devops/mcp with @azure-devops/mcp@next in the configuration.
For better tool selection, add .github/copilot-instructions.md to your project with this instruction:
This project uses Azure DevOps. Always check whether the Azure DevOps MCP server has a tool relevant to the user's request.
Using Domains (Local Server)
The local server includes many tools. Domains let you load only the tool groups you need, which keeps the tool list manageable and helps clients with tool limits. Available domains are core, work, work-items, search, test-plans, repositories, wiki, pipelines, and advanced-security.
Add -d followed by the domains to the server arguments. For example, this configuration loads only work item-related tools:
Trademarks: This project may include trademarks or logos for Microsoft or third parties. Use of Microsoft trademarks or logos must follow Microsoft’s Trademark & Brand Guidelines. Third-party trademarks are subject to their respective policies.
At a glance
Category
Coding
Pricing model
Free
Best for
ai-agents, mcp-server, developer-platforms
What is Azure DevOps MCP? Azure DevOps MCP is a coding tool listed on Scriptiii AI Tools. Microsoft MCP server for Azure DevOps work items, repos, pipelines and wikis. Pricing: Free. Free to use. Best for: ai-agents, mcp-server, developer-platforms.
Questions & answers
Everything you need to know about Azure DevOps MCP
What is Azure DevOps MCP?
Azure DevOps MCP is a coding tool. Microsoft MCP server for Azure DevOps work items, repos, pipelines and wikis.
What does Azure DevOps MCP cost?
Free. Free to use.
What is Azure DevOps MCP best for?
ai-agents, mcp-server, developer-platforms. It is filed under Coding.